| 2025 | FlAIRS | Exploring Solar Granulation: from IMaX/SUNRISE to DKIST. | Reza Mansouri, Rafal A. Angryk, Kevin P. Reardon |
| 2025 | FlAIRS | Time Series Decomposition Using Wavelet and Fourier Transforms for Enhanced Solar Flare Forecasting. | Victor Solomon, Junzhi Wen, Rafal A. Angryk, Manya Rampuria, Omkar Rayala, Abdul Afrid |
| 2025 | ICDM | Autoregressive Surrogate Modeling of the Solar Wind with Spherical Fourier Neural Operator. | Reza Mansouri, Dustin J. Kempton, Pete Riley, Rafal A. Angryk |
| 2025 | ICDM | Ordinal Encoding as a Regularizer in Binary Loss for Solar Flare Prediction. | Chetraj Pandey, Jinsu Hong, Anli Ji, Rafal A. Angryk, Berkay Aydin |
| 2025 | ICDM | EdgeAttNet: Towards Barb-Aware Filament Segmentation. | Victor Solomon, Petrus C. Martens, Jingyu Liu, Rafal A. Angryk |
| 2025 | ICDM | Cluster-Weighted Training of Deep Surrogate Models for Subgrid Turbulent Transport. | Rimsha Hameed Syeda, Dustin Kempton, Viacheslav Sadykov, Irina Kitiashvili, Rafal A. Angryk |
| 2025 | ICMLA | A Multimodal Machine Learning Approach for Solar Flare Prediction Using Polarity Inversion Lines Data with Low-Rank Fusion. | Ziba Khani, Reza Mansouri, Rafal A. Angryk, Berkay Aydin |
| 2025 | ICMLA | Toward Data-Driven Surrogates of the Solar Wind with Spherical Fourier Neural Operator. | Reza Mansouri, Dustin J. Kempton, Pete Riley, Rafal A. Angryk |
| 2024 | DSAA | Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting. | Chetraj Pandey, Anli Ji, Jinsu Hong, Rafal A. Angryk, Berkay Aydin |
| 2024 | ICAISC | Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction. | Junzhi Wen, Rafal A. Angryk |
| 2023 | DIS | Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting. | Chetraj Pandey, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin |
| 2023 | DSAA | Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations. | Chetraj Pandey, Anli Ji, Trisha Nandakumar, Rafal A. Angryk, Berkay Aydin |
| 2023 | ICAISC | Examining Effects of Class Imbalance on Conditional GAN Training. | Yang Chen, Dustin J. Kempton, Rafal A. Angryk |
| 2023 | ICMLA | Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions. | Chetraj Pandey, Rafal A. Angryk, Berkay Aydin |
| 2022 | ICAISC | Improving Solar Flare Prediction by Time Series Outlier Detection. | Junzhi Wen, Md Reazul Islam, Azim Ahmadzadeh, Rafal A. Angryk |
| 2022 | ICIP | Measuring Class-Imbalance Sensitivity of Deterministic Performance Evaluation Metrics. | Azim Ahmadzadeh, Rafal A. Angryk |
| 2022 | ICPR | Solar Flare Forecasting with Deep Learning-based Time Series Classifiers. | Anli Ji, Junzhi Wen, Rafal A. Angryk, Berkay Aydin |
| 2021 | ICAISC | Towards Synthetic Multivariate Time Series Generation for Flare Forecasting. | Yang Chen, Dustin J. Kempton, Azim Ahmadzadeh, Rafal A. Angryk |
| 2021 | ICIP | Multiscale IOU: A Metric for Evaluation of Salient Object Detection with Fine Structures. | Azim Ahmadzadeh, Dustin J. Kempton, Yang Chen, Rafal A. Angryk |
| 2020 | ICPR | A Framework for Local Outlier Detection from Spatio-Temporal Trajectory Datasets. | Xumin Cai, Berkay Aydin, Anli Ji, Rafal A. Angryk |
| 2019 | CIKM | Tensor Decomposition-based Node Embedding. | Shah Muhammad Hamdi, Soukaina Filali Boubrahimi, Rafal A. Angryk |
| 2019 | ICAISC | A Scalable Segmented Dynamic Time Warping for Time Series Classification. | Ruizhe Ma, Azim Ahmadzadeh, Soukana Filali Boubrahimi, Rafal A. Angryk |
| 2019 | ICDM | Interpretable Feature Learning of Graphs using Tensor Decomposition. | Shah Muhammad Hamdi, Rafal A. Angryk |
| 2019 | ICMLA | Rare-Event Time Series Prediction: A Case Study of Solar Flare Forecasting. | Azim Ahmadzadeh, Berkay Aydin, Dustin J. Kempton, Maxwell Hostetter, Rafal A. Angryk, Manolis K. Georgoulis, Sushant S. Mahajan |
| 2018 | DaWaK | Time Series Distance Density Cluster with Statistical Preprocessing. | Ruizhe Ma, Soukaina Filali Boubrahimi, Rafal A. Angryk |
| 2018 | DSAA | Neuro-Ensemble for Time Series Data Classification. | Soukaina Filali Boubrahimi, Ruizhe Ma, Rafal A. Angryk |
| 2018 | ICPR | Scalable kNN Search Approximation for Time Series Data. | Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Shah Muhammad Hamdi, Rafal A. Angryk |
| 2017 | FlAIRS | Evaluating Preprocessing Strategies for Time Series Prediction using Deep Learning Architectures. | Sajitha Naduvil-Vadukootu, Rafal A. Angryk, Pete Riley |
| 2017 | FlAIRS | A Region-Based Retrieval System for Heliophysics Imagery. | Michael A. Schuh, Dustin Kempton, Rafal A. Angryk |
| 2017 | ICAISC | Neural Video Compression Based on PVQ Algorithm. | Michal Knop, Tomasz Kapuscinski, Rafal A. Angryk |
| 2017 | ICAISC | Solar Event Classification Using Deep Convolutional Neural Networks. | Ahmet Kk, Juan M. Banda, Rafal A. Angryk |
| 2017 | ICAISC | Convolutional Neural Networks for Time Series Classification. | Mariusz Zebik, Marcin Korytkowski, Rafal A. Angryk, Rafal Scherer |
| 2017 | ICDM | Top-(R%, K) Spatiotemporal Event Sequence Mining. | Berkay Aydin, Ahmet Kk, Soukaina Filali Boubrahimi, Rafal A. Angryk |
| 2017 | ICDM | Distance and Density Clustering for Time Series Data. | Ruizhe Ma, Rafal A. Angryk |
| 2017 | ICDM | Cultivating Evolving Region Trajectory Datasets. | Sajitha Naduvil-Vadukootu, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk |
| 2016 | ICAISC | Towards Feature Selection for Appearance Models in Solar Event Tracking. | Dustin J. Kempton, Michael A. Schuh, Rafal A. Angryk |
| 2016 | ICAISC | Neural Video Compression Based on RBM Scene Change Detection Algorithm. | Michal Knop, Tomasz Kapuscinski, Wojciech K. Mleczko, Rafal A. Angryk |
| 2016 | ICAISC | Color-Based Large-Scale Image Retrieval with Limited Hardware Resources. | Michal Lagiewka, Rafal Scherer, Rafal A. Angryk |
| 2016 | ICAISC | Rough Restricted Boltzmann Machine - New Architecture for Incomplete Input Data. | Wojciech K. Mleczko, Robert K. Nowicki, Rafal A. Angryk |
| 2016 | ICDM | A Graph-Based Approach to Spatiotemporal Event Sequence Mining. | Berkay Aydin, Rafal A. Angryk |
| 2016 | ICDM | A Pattern Growth-Based Approach for Mining Spatiotemporal Co-occurrence Patterns. | Shah Muhammad Hamdi, Berkay Aydin, Rafal A. Angryk |
| 2016 | ICPR | Spatiotemporal event sequence mining from evolving regions. | Berkay Aydin, Rafal A. Angryk |
| 2015 | ICDM | Spatiotemporal Frequent Pattern Mining on Solar Data: Current Algorithms and Future Directions. | Berkay Aydin, Rafal A. Angryk |
| 2015 | ICDM | Unsupervised Learning Techniques for Detection of Regions of Interest in Solar Images. | Juan M. Banda, Rafal A. Angryk |
| 2014 | ADBIS | Storing Long-Lived Concurrent Schema and Data Versions in Relational Databases. | Bob Wall, Rafal A. Angryk |
| 2014 | COCOON | Approximating High-Dimensional Range Queries with kNN Indexing Techniques. | Michael A. Schuh, Tim Wylie, Chang Liu, Rafal A. Angryk |
| 2014 | FlAIRS | ERMO-DG: Evolving Region Moving Object Dataset Generator. | Berkay Aydin, Rafal A. Angryk, Karthik Ganesan Pillai |
| 2014 | FlAIRS | Mitigating the Curse of Dimensionality for Exact kNN Retrieval. | Michael A. Schuh, Tim Wylie, Rafal A. Angryk |
| 2014 | ICAISC | Large-Scale Region-Based Multimedia Retrieval for Solar Images. | Juan M. Banda, Rafal A. Angryk |
| 2013 | ADBIS | Big Data New Frontiers: Mining, Search and Management of Massive Repositories of Solar Image Data and Solar Events. | Juan M. Banda, Michael A. Schuh, Rafal A. Angryk, Karthik Ganesan Pillai, Patrick McInerney |
| 2013 | ADBIS | When Too Similar Is Bad: A Practical Example of the Solar Dynamics Observatory Content-Based Image-Retrieval System. | Juan M. Banda, Michael A. Schuh, Tim Wylie, Patrick McInerney, Rafal A. Angryk |
| 2013 | ADBIS | Spatiotemporal Co-occurrence Rules. | Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Tim Wylie, Michael A. Schuh |
| 2013 | ADBIS | Improving the Performance of High-Dimensional kNN Retrieval through Localized Dataspace Segmentation and Hybrid Indexing. | Michael A. Schuh, Tim Wylie, Rafal A. Angryk |
| 2013 | FlAIRS | Cluster Analysis for Optimal Indexing. | Tim Wylie, Michael A. Schuh, John W. Sheppard, Rafal A. Angryk |
| 2013 | ICDM | Region-Based Querying of Solar Data Using Descriptor Signatures. | Juan M. Banda, Chang Liu, Rafal A. Angryk |
| 2013 | ICDM | On Using SIFT Descriptors for Image Parameter Evaluation. | Patrick M. McInerney, Juan M. Banda, Rafal A. Angryk |
| 2013 | ICIP | A large-scale solar image dataset with labeled event regions. | Michael A. Schuh, Rafal A. Angryk, Karthik Ganesan Pillai, Juan M. Banda, Petrus C. Martens |
| 2012 | FlAIRS | Quantitative Comparison of Linear and Non-linear Dimensionality Reduction Techniques for Solar Image Archives. | Juan M. Banda, Rafal A. Angryk, Petrus C. Martens |
| 2012 | FlAIRS | Automated Weather Sensor Quality Control. | Douglas E. Galarus, Rafal A. Angryk, John W. Sheppard |
| 2012 | FlAIRS | Evolving Kernel Functions with Particle Swarms and Genetic Programming. | Michael A. Schuh, Rafal A. Angryk, John W. Sheppard |
| 2012 | ICDM | Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions. | Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Michael A. Schuh, Tim Wylie |
| 2011 | CIKM | Minimal data sets vs. synchronized data copies in a schema and data versioning system. | Bob Wall, Rafal A. Angryk |
| 2011 | ICIP | On the surprisingly accurate transfer of image parameters between medical and solar images. | Juan M. Banda, Rafal A. Angryk, Petrus C. Martens |
| 2011 | ISMIS | Semantically-Guided Clustering of Text Documents via Frequent Subgraphs Discovery. | Rafal A. Angryk, Mahmud Shahriar Hossain, Brandon Norick |
| 2010 | DICTA | Selection of Image Parameters as the First Step towards Creating a CBIR System for the Solar Dynamics Observatory. | Juan M. Banda, Rafal A. Angryk |
| 2010 | FlAIRS | An Experimental Evaluation of Popular Image Parameters for Monochromatic Solar Image Categorization. | Juan M. Banda, Rafal A. Angryk |
| 2010 | ICDM | Using Taxonomies to Perform Aggregated Querying over Imprecise Data. | Atanu Roy, Chandrima Sarkar, Rafal A. Angryk |
| 2008 | CIKM | Frequent pattern-growth approach for document organization. | Monika Akbar, Rafal A. Angryk |
| 2008 | ICPR | An example based image retrieval system for the TRACE repository. | Robbie Lamb, Rafal A. Angryk, Piet Martiens |
| 2007 | CIDM | Distributed Document Clustering Using Word-clusters. | Debzani Deb, Rafal A. Angryk |
| 2007 | ICDM | GDClust: A Graph-Based Document Clustering Technique. | Mahmud Shahriar Hossain, Rafal A. Angryk |
| 2007 | IFSA | Algorithm for Interpretation of Multi-valued Taxonomic Attributes in Similarity-Based Fuzzy Databases. | Mahmud Shahriar Hossain, Rafal A. Angryk |
| 2007 | SMC | Sense based organization of descriptive data. | Mahmud Shahriar Hossain, Monika Akbar, Rafal A. Angryk |
| 2007 | SMC | Measuring semantic similarity using wordnet-based context vectors. | Shen Wan, Rafal A. Angryk |
| 2006 | ICAISC | On Interpretation of Non-atomic Values and Induction of Decision Rules in Fuzzy Relational Databases. | Rafal A. Angryk |
| 2004 | AAAI | Fuzzy Induction in Dynamic User Profiling for Information Filtering. | Rafal A. Angryk, Costin Barbu |
| 2004 | SMC | Information filtering via fuzzy hierarchical induction. | Costin Barbu, Rafal A. Angryk, Frederick E. Petry, Marin Simina |